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applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further
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practical and conceptual introduction to the teaching of students and will introduce student teachers to many of the philosophies, methods, and materials relevant to teaching. It provides opportunities
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and related units to support interdisciplinary programming; Build and maintain relationships with community partners, professional planners, local governments, and Indigenous communities, as appropriate
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of HR systems and processes. Collaborative and Consultative Leadership – Build trust and credibility across academic and non-academic employee communities through transparent communication, sound judgment
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statement of teaching philosophy sample course materials, a record of previous teaching accomplishments and innovations, and teaching evaluations or other evidence of superior performance in teaching-related
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Data Science-related courses in the Department of Computer Science. · Identify and develop instructional materials, including appropriate datasets, in collaboration with participating faculty
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interaction with the ocean and marine spaces. The successful applicant will have a strong foundation in hydrodynamics and control of surface or sub-surface vessels, marine structures and materials, electrified
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 4 days ago
. Submission guidelines can be found at http://uoft.me/how-to-apply . Your CV and cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one or two files
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Canada by two weeks before the start date. International applicants should assess work-permit and visa timelines at https://www.canada.ca/en/immigration-refugees-citizenship/services/application/check
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Research Centre is a research centre within the Department of Radiology (https://mriresearch.med.ubc.ca/). It consists of 2 MRI scanners, one human and one preclinical animal scanner. Staff supporting